A 2026 ADNI study reported 85.23% accuracy for ANA-GNN, a graph neural network that combined structural MRI regional features with clinical variables to classify cognitively normal controls, mild cognitive impairment, and Alzheimer’s disease.1 The result is useful, but the clinical-feature ablation dropped accuracy to 68.35%, so the model should be read as multimodal decision-support research, …
A 2026 Scientific Reports study of Maryland suicide-death records found that an XGBoost machine-learning model could reach 96.1% positive predictive value in hospital-discharge data at the top 0.1% risk threshold, but it still detected only 46.7% of suicide deaths in that cohort. Research Highlights Precision improved at the narrowest threshold: XGBoost reached PPV 0.961 in …
Clozapine is the only medication with proven efficacy for treatment-resistant schizophrenia, yet most eligible patients wait years before starting it. A 2026 paper by Perfalk and colleagues trains a machine-learning model on routine electronic health record data to flag candidates earlier.1 Research Highlights Clozapine is the only evidence-based treatment for treatment-resistant schizophrenia (TRS), but the …